code: def test_predict_different_inputs(self):
      cmac = algorithms.CMAC()
  
      data = np.array([[1, 2, 3]]).T
      target = np.array([[1, 2, 3]]).T
  
      cmac.train(data, target, epochs=100)
      self.assertInvalidVectorPred(
          network=cmac,
          input_vector=np.array([1, 2, 3]),
          target=target,
          decimal=2,
      )
  
file_path: neupy/tests/algorithms/memory/test_cmac.py
imports: import numpy
  from sklearn import metrics
  from neupy import algorithms
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the CMACTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types